<![CDATA[Ride-hailing applications require extensive personal data, making user trust in personal data management a critical determinant of sustained adoption. This cross-sectional study examined the associations of perceived privacy control, app permission request clarity, and data use transparency with trust in personal data management among 200 Gojek Android users across five subdistricts of Bandung City, Indonesia. A 20-item five-point Likert online questionnaire was administered from September to November 2025, and multiple linear regression with HC3 standard errors was applied. All three predictors were independently associated with trust. Perceived privacy control (B = 0.33, β = 0.37, p < .001) emerged as the strongest predictor, followed by data use transparency (B = 0.19, β = 0.20, p = .002) and permission request clarity (B = 0.13, β = 0.14, p = .038). The model explained 24.5% of variance in trust (adjusted R² = 0.245, F[3, 196] = 22.57, p < .001). Sensitivity analysis on 176 complete-response cases yielded consistent results, except that the association of permission clarity was attenuated to a trend. These findings underscore the importance of user-facing control mechanisms and transparent privacy communication in building trust in data-intensive ride-hailing platforms.]]>
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